Real Time Gesturing in Embodied Agents for Dynamic Content Creation
Abstract
The content creation industry is experiencing significant growth and the utilisation of Real-Time Gesturing in embodied agents presents an excellent opportunity to enhance the communication of text. Using the proposed system, raw text can be parsed in realtime and an appropriate emotional and gestural performance is generated. It can also be configured to convey personality traits using elements such as emotional state and responses to stimuli, gesture rate, type, size and speed, and augmented with inserted markup tags.